traffic_sign_detection_3d-printed Object Detection Dataset and Pre-Trained Model by projectthesis

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Explore Dataset

Here are a few use cases for this project:

Autonomous vehicle navigation: Use the model to help self-driving cars accurately identify and adhere to traffic signs, improving road safety and compliance with local traffic laws in Germany.
Traffic management and analysis: Implement the model in traffic monitoring systems to assess traffic sign visibility and condition, identify potential signage issues, and inform local authorities about necessary sign maintenance or replacement.
Driver assistance systems: Integrate the model into Advanced Driver Assistance Systems (ADAS) to alert drivers of upcoming traffic signs, enhancing driver awareness and encouraging adherence to traffic rules.
Maps and navigation apps: Apply the model to augment existing mapping and navigation apps with real-time traffic sign information, helping users navigate unfamiliar roads more effectively and safely.
Training and education: Develop a training module for driving schools or license renewal courses incorporating the model to teach and evaluate drivers on recognizing and complying with German traffic signs.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ traffic_sign_detection_3d-printed_dataset,
    title = { traffic_sign_detection_3d-printed Dataset },
    type = { Open Source Dataset },
    author = { projectthesis },
    howpublished = { \url{ https://universe.roboflow.com/projectthesis/traffic_sign_detection_3d-printed } },
    url = { https://universe.roboflow.com/projectthesis/traffic_sign_detection_3d-printed },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-05 },
}